Doctor of Philosophy in Engineering
- Key Information
Course Name:
Doctor of Philosophy in Engineering
University Name:
University Malaysia of Computer Science & Engineering (UNIMY)
Campus:
Kuala Lumpur
Qualification:
PhD
Duration:
3 years
Intake:
February, May, September
IELTS:
6.0
Study Mode:
On-campus
Study Type:
Full time study
Program Mode:
Coursework
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 24,900 |
| 2nd Year | MYR 24,900 |
| 3rd Year | MYR 24,900 |
Other Fees
| Description | Fee |
|---|---|
| Facilities Fee (Yearly) | MYR 3,000 |
| Visa and Insurance | MYR 1,000 |
Campus
Kuala Lumpur
Qualification
PhD
Duration
3 years
Intake
February, May, September
IELTS
6.0
Study Mode
On-campus
Study Type
Full time study
Program Mode
Coursework
Are you interested to apply for
University Malaysia of Computer Science & Engineering (UNIMY)?
Course Fee for International Students
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 24,900 |
| 2nd Year | MYR 24,900 |
| 3rd Year | MYR 24,900 |
Other Fees
| Description | Fee |
|---|---|
| Facilities Fee (Yearly) | MYR 3,000 |
| Visa and Insurance | MYR 1,000 |
Course Overview
The Doctor of Philosophy in Engineering offers a prestigious pedagogical framework designed to ground scholars in the foundational tenets and transformative methodologies of autonomous engineering inquiry and advanced applied science. As a terminal research degree, this program facilitates a transition from specialized practice to elite scholar-level proficiency by synthesizing rigorous theoretical inquiry with high-impact independent research, ensuring that candidates can navigate the systemic complexities of contemporary engineering challenges at the highest cognitive level. The curriculum is strategically structured to provide a comprehensive mastery of critical scholarly pillars: Sustained Investigative Rigor and Knowledge Generation: Cultivating the analytical capacity to conduct original, sustained research that contributes significant insights to the global body of technical literature, bridging the gap between existing theory and groundbreaking technological application. Scholarly Mentorship and Intellectual Stewardship: Developing the expertise required to navigate multifaceted engineering phenomena through close collaboration with esteemed faculty, fostering the intellectual independence necessary for high-level scientific contribution. Advanced Methodological Proficiency and Strategy: Establishing a profound understanding of complex engineering concepts and investigative methodologies, equipping graduates with the critical thinking abilities required to solve systemic technical challenges. Executive Leadership and Scientific Influence: Mastering the “hard skills” of cutting-edge research and academic dissemination, preparing candidates for influential roles within academia, global research institutions, and governmental organizations. By integrating advanced technical expertise with intensive research training and professional mentoring, the program equips candidates with the executive scholarly competencies required for a profound institutional impact. Graduates emerge as prepared scholar-leaders ready for pivotal roles as Chief Technology Officers, University Professors, or Lead Research Scientists, possessing the prerequisite academic rigor to spearhead industrial innovation or lead specialized research units in Advanced Computing, Infrastructure Engineering, or Sustainable Systems.
Curriculum
Programme Structure
| Year / Stage | Themes | Key Modules |
|---|---|---|
| Foundation Stage | Advanced Research Design & Academic Literacy | Research Methodology and Academic Writing: Research methods for computing, critical literature assessment, lexical/grammatical accuracy, and graduate-level dissertation writing techniques. |
| Early Research | Concept Refinement & Literature Synthesis | PhD Research 1 & 2: Problem identification, foundational literature review, and refinement of the research framework. |
| Active Research | Execution & Data Analysis | PhD Research 3 & 4: Core research implementation, data collection, and application of specific computing methodologies. |
| Final Stage | Thesis Synthesis & Oral Defense | PhD Research 5 & 6: Integration of final findings, preparation for publication, thesis submission, and oral examination (Viva Voce). |
Field of Research
N/A